A review of chatgpt applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions
M Fraiwan, N Khasawneh - arXiv preprint arXiv:2305.00237, 2023 - arxiv.org
ChatGPT is a type of artificial intelligence language model that uses deep learning
algorithms to generate human-like responses to text-based prompts. The introduction of the …
algorithms to generate human-like responses to text-based prompts. The introduction of the …
[HTML][HTML] An approach for classification of Alzheimer's disease using deep neural network and brain magnetic resonance imaging (MRI)
Alzheimer's disease (AD) is a deadly cognitive condition in which people develop severe
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …
[HTML][HTML] Underwater object detection method based on improved faster RCNN
H Wang, N Xiao - Applied Sciences, 2023 - mdpi.com
In order to better utilize and protect marine organisms, reliable underwater object detection
methods need to be developed. Due to various influencing factors from complex and …
methods need to be developed. Due to various influencing factors from complex and …
[HTML][HTML] YOLOv7-MA: Improved YOLOv7-based wheat head detection and counting
X Meng, C Li, J Li, X Li, F Guo, Z Xiao - Remote Sensing, 2023 - mdpi.com
Detection and counting of wheat heads are crucial for wheat yield estimation. To address the
issues of overlapping and small volumes of wheat heads on complex backgrounds, this …
issues of overlapping and small volumes of wheat heads on complex backgrounds, this …
[HTML][HTML] A lightweight detection algorithm for unmanned surface vehicles based on multi-scale feature fusion
L Zhang, X Du, R Zhang, J Zhang - Journal of Marine Science and …, 2023 - mdpi.com
Lightweight detection methods are frequently utilized for unmanned system sensing;
however, when put in complicated water surface environments, they suffer from insufficient …
however, when put in complicated water surface environments, they suffer from insufficient …
[HTML][HTML] NAMRTNet: Automatic classification of sleep stages based on improved ResNet-TCN network and attention mechanism
X Xu, C Chen, K Meng, L Lu, X Cheng, H Fan - Applied Sciences, 2023 - mdpi.com
Sleep, as the basis for regular body functioning, can affect human health. Poor sleep
conditions can lead to various physical ailments, such as poor immunity, memory loss, slow …
conditions can lead to various physical ailments, such as poor immunity, memory loss, slow …
[HTML][HTML] Fully Automated Skull Stripping from Brain Magnetic Resonance Images Using Mask RCNN-Based Deep Learning Neural Networks
This research comprises experiments with a deep learning framework for fully automating
the skull stripping from brain magnetic resonance (MR) images. Conventional techniques for …
the skull stripping from brain magnetic resonance (MR) images. Conventional techniques for …
[HTML][HTML] Improved lightweight YOLOv4 foreign object detection method for conveyor belts combined with CBAM
J Liu, H Qiao, L Yang, J Guo - Applied Sciences, 2023 - mdpi.com
During the operation of the belt conveyor, foreign objects such as large gangue and anchor
rods may be mixed into the conveyor belt, resulting in tears and fractures, which affect …
rods may be mixed into the conveyor belt, resulting in tears and fractures, which affect …
[HTML][HTML] On the Influence of Aging on Classification Performance in the Visual EEG Oddball Paradigm Using Statistical and Temporal Features
N Omejc, M Peskar, A Miladinović, V Kavcic… - Life, 2023 - mdpi.com
The utilization of a non-invasive electroencephalogram (EEG) as an input sensor is a
common approach in the field of the brain–computer interfaces (BCI). However, the collected …
common approach in the field of the brain–computer interfaces (BCI). However, the collected …
[HTML][HTML] A Deep Learning-Based Lightweight Model for the Detection of Marine Fishes
F Wu, Y Zhang, L Wang, Q Hu, S Fan… - Journal of Marine Science …, 2023 - mdpi.com
The species and population size of marine fish are important for maintaining the ecological
environment and reflecting climate change. Traditional fish detection methods mainly rely on …
environment and reflecting climate change. Traditional fish detection methods mainly rely on …